It’s no secret that we believe that one of the most important aspects of a successful Data Governance program at your organization is to ensure that all of your employees receive the proper training. If everyone is not working with the same assumptions and goals then the organization will never reach the level of data governance succes that it aims for.
The difficulty with training an entire organization around data governance is that there are often so many groups focusing on different projects and completing different tasks. The cost of getting everyone into training courses and workshops can quickly add up. Thankfully, there is a solution that an organization can implement that is both cost effective and successful at training an entire staff on proper data governance techniques.
Data Governance Training Through eLearning
One of the most cost effective ways of explaining the importance of Data Governance with your employees is through an eLearning solution. This training approach can be very similar to the security training sessions organization conduct each year to make sure staff is keeping proper protocols for protecting an organizations intelectual property.
An elearning solution can be custom developed to demonstrate the specific approach you’d like to implement for proper data governance in your organization. These approaches are excellent as they can be repeated, easily required of all new incoming employees, and can be used be different parts of the organization as needed.
An even better idea would be to make the implementation of required eLearning course completion be part of every new project your organization undertakes. As they review the material continually they’ll develop a strong understanding of how the organization works with data.
eLearning courses can be developed for Computer Based Training or Web Best Training approaches. They can be taken by your employees at their desk. They are often less expensive than requiring week long training sessions and the ability to test an employees knowledge at the end of the course allows for an assurance that staff understands the material presented to them.
If your organization is not using elearning approaches to data governance it is something you should seriously investigate.
When individuals think about data governance one of the last things they often think about is grammar. In fact, most data stewards focus on the alpha numeric structure of their data or how the organization they work for categorizes different types of data. However, grammar is an important part of your data structure and their are a number of things you can do to implement policies and approaches in your data governance strategy to ensure that your data accounts for quality grammar.
An area that grammar is most important when applying it to data governance is when you’re considering data elements that accept open ended information from individuals entering data into your system. This scenario may allow for data entry employees to use short hand, improper grammar, or text that only they can read. This makes it difficult to gain any value from the data you’ve collected and entered into your enterprise systems.
Data Governance Tools – Grammar Checkers
One of the first things you can do when developing a data governance plan is to identify systems that allow for the open ended data input. These systems should be sure to build in a grammar check function before the data is saved into the system. This allows software to do a lot of the major checking for you and allows you to focus on other areas of your data governance plan.
If system modifications are not an option, it maybe a good idea to offer data entry training to ensure employees understand the importance of providing clear input into your data collection systems.
Grammar Strategy Development at Conferences
Another option to improve your proper grammar implementation is by developing strategies with other data stewards at the next conference you attend. Often different organizations have implemented different approaches to ensure high quality data. Be prepared to ask specifics about how other organizations implemented their strategy, what they felt were the most important lessons learned and what they’d do differently next time.
Proper Grammar = Data Quality
When your organization takes the time insure that the data entered into its systems are grammatically correct they are also making sure that they are prepared for future use and analysis of that data. This is always most easily identified when historic data is accessed for analysis and quality data will be much more useful for future business decisions.